MCP YouTube Transcript
An MCP server retrieving transcripts of YouTube videos
Descripción del creador (original en inglés)
Unofficial read-only Divar: search Iran's classified ads, cheapest and best-value ads, price checks.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
DIVAR_MCP_PROXYNecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"divar": {
"command": "uvx",
"args": [
"divar-mcp"
],
"env": {
"DIVAR_MCP_PROXY": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add divar --env DIVAR_MCP_PROXY=your-value -- uvx divar-mcpCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"divar": {
"command": "uvx",
"args": [
"divar-mcp"
],
"env": {
"DIVAR_MCP_PROXY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"divar": {
"type": "stdio",
"command": "uvx",
"args": [
"divar-mcp"
],
"env": {
"DIVAR_MCP_PROXY": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
DIVAR_MCP_PROXY envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub sepehr071, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.3.0) llegó al registro ayer.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.
En la misma categoría: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
An MCP server retrieving transcripts of YouTube videos
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Let your AI agent search Divar (دیوار) ads in any Iranian city, and tell it whether a price is fair.
An unofficial, read-only MCP server for Divar, Iran's largest classifieds site (homes, cars, phones, jobs, services).
Search, read ads, compare, find the cheapest and best-value ads, appraise prices and browse the map from Claude, Cursor or Copilot. Prices are in Toman.
For AI agents · Why · What it can do · Quick start · Tools · How it works · Good to know · FAQ · Configuration · فارسی · Development
uvx divar-mcp or claude mcp add divar -- uvx divar-mcp. Transport: stdio. Needs uv (Python 3.10+).DIVAR_MCP_PROXY (HTTP proxy URL, or a comma-separated list); system proxy settings are ignored.dv_watch and dv_price_trend write, and only to a local file of your own searches.dv_. Start with dv_search, dv_post, dv_cheapest, dv_best_for_budget, dv_market.dv_cities / dv_categories -> dv_filters -> dv_search -> dv_post -> dv_similar / dv_appraise / dv_compare.divar://cities, divar://categories, divar://category-filters/{slug}; prompts compare_ads, best_under_budget, appraise_listing, watch_market.price for a sale; deposit + rent for a rental (rent 0 with full_deposit means رهن کامل); no price means negotiable.token between tools and next_cursor back as cursor.server.json and the iran-mcp catalog (TOOLS.md, servers.json, llms.txt).Divar is where Iranians buy and sell flats, cars and phones, but answering "what is a fair price for a 2-bedroom flat in Vanak?" means scrolling through dozens of ads and ignoring the fake prices. With divar-mcp an agent fetches the ads, drops placeholder prices, computes the median and quartiles of the asking prices, and tells you which ads are well below them.
You: Find the best 2-bedroom flat to rent in Vanak with a deposit under 1 billion Toman.
Agent: *calls*
dv_parse_query->dv_best_for_budget->dv_post
It lists the best-value ads against the median of the ads that fit, with the reasons for each score, then opens the one you pick.
dv_new_since with the last timestamp to see only new ads; keep saved searches and a daily median price trend locally; export results as CSV or JSON linesExample prompts:
You need uv. No API key or account.
Claude Code
claude mcp add divar -- uvx divar-mcp
Claude Desktop
Settings → Developer → Edit Config, then add:
{
"mcpServers": { "divar": { "command": "uvx", "args": ["divar-mcp"] } } }
</details>
Cursor
Add the Claude Desktop block above to ~/.cursor/mcp.json (or .cursor/mcp.json in a project).
VS Code (Copilot agent mode)
Click Install in VS Code above, or add to .vscode/mcp.json:
{
"servers": { "divar": { "type": "stdio", "command": "uvx", "args": ["divar-mcp"] } } }
</details>
Codex CLI
codex mcp add divar -- uvx divar-mcp
Or in ~/.codex/config.toml:
[mcp_servers.divar]
command = "uvx" args = ["divar-mcp"]
</details>
Gemini CLI
Add to ~/.gemini/settings.json:
{
"mcpServers": { "divar": { "command": "uvx", "args": ["divar-mcp"] } } }
</details>
Windsurf
Add the Claude Desktop block to ~/.codeium/windsurf/mcp_config.json.
Anything else
It is a standard stdio MCP server: run uvx divar-mcp, or pip install divar-mcp and run divar-mcp.
An ad card has token, title, price (sale) or deposit + rent (rent 0 with full_deposit means رهن کامل), info (mileage, condition...), district, seller (agency label), age_h (hours since the last bump), photos, image (thumbnail URL, only from dv_search with thumbnails), chat, tag (paid promotion), url, and suspect_price when the price looks like a placeholder. Absent flags mean false. Default page size is 10 to 20 ads.
All tools start with dv_ and are annotated read-only, except dv_watch and dv_price_trend, which write only to a local file.
| Tool | What it does |
|---|---|
dv_cities | City ids for a name (1,177 cities); no query lists the biggest cities |
dv_districts | Neighbourhoods of a city with ids, centre and main streets |
dv_neighbours | Neighbourhoods adjacent to a district (Divar's list plus the nearest ones by distance) |
dv_locate | City, neighbourhood and street address of a GPS point |
dv_place_search | Map autocomplete: landmark or street to coordinates |
dv_place_mapping | Convert old Divar place ids to current ones |
dv_categories | The 236-node category tree; search by name, list children |
dv_filters | Every filter of a category: key, type, label, unit, options |
dv_filter_options | Brand and model keys (161 car brands), districts and other option lists, with typed search |
dv_suggest | The search box's suggestions and category guesses for some text |
dv_parse_query | A plain Persian request ("آپارتمان اجاره ونک زیر ۸ میلیارد") to dv_search arguments: city, neighbourhoods, price bounds, area (80 متری), category |
dv_boundary | Neighbourhood borders of a city (GeoJSON): the city box, or one neighbourhood's polygon |
| Tool | What it does |
|---|---|
dv_search | Search ads with city, category, text, districts, price, brand, photo, freshness and any category filter; multi-page merge, client-side age and keyword filters, cursor paging |
dv_count | How many ads match a search (capped at 10,000) |
dv_cheapest | The cheapest ads of a search; placeholder prices and far-below-median outliers skipped |
dv_best_for_budget | Within a budget: best value with an explainable deal_score (and reasons) against the median of the ads that fit (price per m2 for property for sale), and the most you can get; bait / co-op / loan titles are skipped |
dv_find_deals | Ads priced well below the median of a search, no budget needed; junk prices and bait titles removed |
dv_market | Price statistics (min, quartiles, median, max) plus breakdown by district and by day |
dv_appraise | Is an ad's price (or a price you give) high or low versus similar ads (same area first, then the whole city): percentile, verdict ("insufficient comparables" when the call is extreme but thin), confidence |
dv_new_since | Ads published after a timestamp: poll with the returned latest to watch a search |
dv_export | The ads of a search as CSV or JSON lines |
dv_nearby | Map ads around a point (category required), nearest first, with coordinates, distance and total price |
dv_watch | Saved searches: create, then check to get only the ads newer than the last check (local file) |
dv_price_trend | One median asking price per day for a search, kept locally, with change since the previous day |
dv_status | Is Divar reachable, latency, caches, saved watches and the tool list |
| Tool | What it does |
|---|---|
dv_post | Full ad: price, specs, features, description, images, map position, seller type, flags |
dv_posts | Up to 10 ads in one call, compact |
dv_compare | 2 to 6 ads side by side: prices and only the specs that differ |
dv_similar | Ads like this one (same brand and area, widening step by step) |
dv_seller | A seller's personal and business ad counts, business card (or "personal seller") and other ads (only business sellers' ads are listed, the first 11) |
dv_dealer | A business's public page: name, member since, first 11 ads |
AI agent (Claude, Cursor, Copilot, ...)
│ │ MCP over stdio ▼ diva
Solo se muestra el principio; lee el resto en el repo